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Amazon Machine Learning Jobs in Texas (NOW HIRING)

Amazon

Security Engineer, Threat Detection

Austin, TX · On-site

Amazon Stores Security's Threat Detection team is looking for a highly motivated Security Engineer ... through machine learning, advanced data correlation, risk-based alerting, or generative AI ...

Amazon

PD Engineer, Annapurna Labs

Austin, TX · On-site

As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

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Amazon Machine Learning information

See Texas salary details

$23.8K

$39.7K

$82K

How much do amazon machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for amazon machine learning in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What is an Amazon Machine Learning job?

An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?

To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.

What types of projects and daily tasks can I expect in an Amazon Machine Learning position?

As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.
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What job categories do people searching Amazon Machine Learning jobs in Texas look for? The top searched job categories for Amazon Machine Learning jobs in Texas are:
What cities in Texas are hiring for Amazon Machine Learning jobs? Cities in Texas with the most Amazon Machine Learning job openings:
Amazon Machine Learning jobs near you
Infographic showing various Amazon Machine Learning job openings in Texas as of May 2026, with employment types broken down into 94% Full Time, 1% Part Time, 1% Contract, 3% Nights, and 1% Summer. Highlights an 100% Physical job distribution, with an average salary of $39,673 per year, or $19.1 per hour.
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations

AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations

Amazon

Austin, TX • On-site

Full-time

Posted 19 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,795 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry

The Machine Learning Acceleration Fleet Operations Team is looking for candidates interested in diving deep into our fleet of ML servers deployed around the world.
We are seeking an engineer who is comfortable debugging emergent problems in GPU and server hardware, writing scripts in languages such as Python or Bash, running large scale experiments on a fleet of complex hardware, developing data infrastructure and analyzing trends, and developing automation software to scale operations.
Our team has end to end ownership of some of the most advanced server hardware in the world. We drive technical debug efforts and write truly massive scale autonomous software to monitor, optimize, and remediate machine learning hardware

Come join us!
Key job responsibilities
- Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products
- Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS
- Implement and improve system level testing across the product lifecycle
- Develop software which can be maintained, improved upon, documented, tested, and reused
- Dive deep on issues at the intersection of hardware and software
A day in the life
As a Platform Development Engineer, you are the dedicated owner of an ML server platform in our fleet. Your mission is to maximize its health, sellability, and customer experience.
You start each day with eyes on the fleet - reviewing dashboards to identify trends and triaging emergent issues, then partnering with hardware and software engineering teams to debug, investigate, and translate findings into permanent fixes. You own the end-to-end testing story and manage tradeoffs between coverage and velocity

You direct new automations, tooling, and data infrastructure to scale your operations. You manage software deployments, debug issues with them, and run status meetings to align all platform stakeholders on how the product is performing.
About the team
The MLA Fleet Operations team was formed to maintain an exceptionally high quality bar for our fleet of advanced machine learning accelerators and server products. We perfect the customer experience by developing scalable software for rapid incident response times and data visualization as well as diving deep into hardware issues as they arise

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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